TY - GEN
T1 - Extraction of query term-related visual phrases for news video retrieval using mutual information
AU - Yeh, Jun Bin
AU - Wu, Chung Hsien
PY - 2009
Y1 - 2009
N2 - This paper presents an approach to query termrelated visual phrases extraction using mutual information for object-based news video retrieval. As visual words are useful for object representation, unstable visual words generally appear in the frame sequence of a shot. Using the appearance frequency of the visual words in a sliding window over the query term-related stories, the appearance pattern of a visual word is adopted to characterize the visual word. Based on the appearance pattern of a visual word, the mutual information between two visual words can be estimated over all of the extracted stories. The mutual information is then used to construct a visual word relation graph. Visual phrases are then extracted by discovering the complete sub-graphs from the visual word relation graph for news video retrieval. Experiments were conducted on the MATBN news video database and the experimental results show that a good precision rate for video news retrieval can be achieved.
AB - This paper presents an approach to query termrelated visual phrases extraction using mutual information for object-based news video retrieval. As visual words are useful for object representation, unstable visual words generally appear in the frame sequence of a shot. Using the appearance frequency of the visual words in a sliding window over the query term-related stories, the appearance pattern of a visual word is adopted to characterize the visual word. Based on the appearance pattern of a visual word, the mutual information between two visual words can be estimated over all of the extracted stories. The mutual information is then used to construct a visual word relation graph. Visual phrases are then extracted by discovering the complete sub-graphs from the visual word relation graph for news video retrieval. Experiments were conducted on the MATBN news video database and the experimental results show that a good precision rate for video news retrieval can be achieved.
UR - http://www.scopus.com/inward/record.url?scp=70350173000&partnerID=8YFLogxK
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U2 - 10.1109/ISCAS.2009.5117852
DO - 10.1109/ISCAS.2009.5117852
M3 - Conference contribution
AN - SCOPUS:70350173000
SN - 9781424438280
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 730
EP - 733
BT - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
T2 - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Y2 - 24 May 2009 through 27 May 2009
ER -